code: def migrate_checkpoint(
      checkpoint: _CHECKPOINT, target_version: Optional[str] = None
  ) -> Tuple[_CHECKPOINT, Dict[str, List[str]]]:
      """Applies Lightning version migrations to a checkpoint dictionary.
  
      Args:
          checkpoint: A dictionary with the loaded state from the checkpoint file.
          target_version: Run migrations only up to this version (inclusive), even if migration index contains
              migration functions for newer versions than this target. Mainly useful for testing.
  
      Note:
          The migration happens in-place. We specifically avoid copying the dict to avoid memory spikes for large
          checkpoints and objects that do not support being deep-copied.
  
      """
      ckpt_version = _get_version(checkpoint)
      if Version(ckpt_version) > Version(pl.__version__):
          rank_zero_warn(
              f"The loaded checkpoint was produced with Lightning v{ckpt_version}, which is newer than your current"
              f" Lightning version: v{pl.__version__}",
              category=PossibleUserWarning,
          )
          return checkpoint, {}
  
      index = _migration_index()
      applied_migrations = {}
      for migration_version, migration_functions in index.items():
          if not _should_upgrade(
              checkpoint, migration_version, target_version
          ):
              continue
          for migration_function in migration_functions:
              checkpoint = migration_function(checkpoint)
  
          applied_migrations[migration_version] = [
              fn.__name__ for fn in migration_functions
          ]
  
      if ckpt_version != pl.__version__:
          _set_legacy_version(checkpoint, ckpt_version)
      _set_version(checkpoint, pl.__version__)
      return checkpoint, applied_migrations
  
imports: import logging
  import os
  import pickle
  import sys
  import threading
  import warnings
  from types import ModuleType, TracebackType
  from typing import Any, Dict, List, Optional, Tuple, Type
  from packaging.version import Version
  import lightning.pytorch
  from lightning.fabric.utilities.enums import LightningEnum
  from lightning.fabric.utilities.imports import _IS_WINDOWS
  from lightning.fabric.utilities.types import _PATH
  from lightning.fabric.utilities.warnings import PossibleUserWarning
  from lightning.pytorch.utilities.migration.migration import _migration_index
  from lightning.pytorch.utilities.rank_zero import rank_zero_warn
label_desc: Use image node_id 1 for calling a global function with example usage: migrate_checkpoint(checkpoint, target_version) and returns: checkpoint,  applied_migrations, checkpoint,  dict